Overview of clusters

The following table shows the numbers of prevalent vs. non-prevalent genes found in each cluster (first two columns), followed by the number of significantly enriched categories found in each cluster for each of the annotation sources found using the ORA method (remaining columns).

MF Over Representation Analysis

The ORA method takes a group of significative DEGs (only DEGs, upregulated DEGs or downregulated DEGs) and performs a hypergeometric test for each term of the selected functional category.

Dotplot

The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.

Heatplot

Significant genes (x-axis) and the functional categories in which they appear.

Enrich Map plot

The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.

BP Over Representation Analysis

The ORA method takes a group of significative DEGs (only DEGs, upregulated DEGs or downregulated DEGs) and performs a hypergeometric test for each term of the selected functional category.

Dotplot

The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.

Heatplot

Significant genes (x-axis) and the functional categories in which they appear.

Enrich Map plot

The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.

CC Over Representation Analysis

The ORA method takes a group of significative DEGs (only DEGs, upregulated DEGs or downregulated DEGs) and performs a hypergeometric test for each term of the selected functional category.

Dotplot

The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.

Heatplot

Significant genes (x-axis) and the functional categories in which they appear.

Enrich Map plot

The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.

KEGG Over Representation Analysis

The ORA method takes a group of significative DEGs (only DEGs, upregulated DEGs or downregulated DEGs) and performs a hypergeometric test for each term of the selected functional category.

Dotplot

The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.

Heatplot

Significant genes (x-axis) and the functional categories in which they appear.

Enrich Map plot

The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.

## Warning: ggrepel: 6 unlabeled data points (too many overlaps). Consider
## increasing max.overlaps
## Warning: ggrepel: 6 unlabeled data points (too many overlaps). Consider
## increasing max.overlaps

Reactome Over Representation Analysis

The ORA method takes a group of significative DEGs (only DEGs, upregulated DEGs or downregulated DEGs) and performs a hypergeometric test for each term of the selected functional category.

Dotplot

The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.

Heatplot

Significant genes (x-axis) and the functional categories in which they appear.

Enrich Map plot

The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.

DO Over Representation Analysis

The ORA method takes a group of significative DEGs (only DEGs, upregulated DEGs or downregulated DEGs) and performs a hypergeometric test for each term of the selected functional category.

Dotplot

The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.

Heatplot

Significant genes (x-axis) and the functional categories in which they appear.

Enrich Map plot

The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.

DGN Over Representation Analysis

The ORA method takes a group of significative DEGs (only DEGs, upregulated DEGs or downregulated DEGs) and performs a hypergeometric test for each term of the selected functional category.

Dotplot

The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.

Heatplot

Significant genes (x-axis) and the functional categories in which they appear.

Enrich Map plot

The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.

## Warning: ggrepel: 82 unlabeled data points (too many overlaps). Consider
## increasing max.overlaps
## Warning: ggrepel: 82 unlabeled data points (too many overlaps). Consider
## increasing max.overlaps